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pmid:30944650

Evaluation of the prognostic significances of γ-secretase genes in pancreatic cancer.

Yun Ho Jeon · Mihyang Ha · Sung Won Kim · Mun Ju Kim · Chi-Seung Lee · Chang-Kyu Oh · Myoung-Eun Han · Sae-Ock Oh · Yun Hak Kim

Oncology letters · 2019 doi:10.3892/ol.2019.10113

Paper

complete

Experiment

complete

Data

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Analysis

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title
Evaluation of the prognostic significances of γ-secretase genes in pancreatic cancer.
doi
10.3892/ol.2019.10113
pmid
30944650
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[0]
Yun Ho Jeon
[1]
Mihyang Ha
[2]
Sung Won Kim
[3]
Mun Ju Kim
[4]
Chi-Seung Lee
[5]
Chang-Kyu Oh
[6]
Myoung-Eun Han
[7]
Sae-Ock Oh
[8]
Yun Hak Kim
journal
Oncology letters
year
2019
abstract
With the growing requirement for novel prognostic biomarkers for pancreatic cancer, many studies have focused on clinical and/or genomic variables. Although many studies have been performed, carbohydrate antigen 19-9 is the only biomarker in clinical use. Therefore, the present study examined whether γ-secretase genes, including presenilin (PSEN), nicastrin (NCSTN), presenilin enhancer protein 2 (PSENEN), and anterior pharynx-defective 1 (APH1-), could serve as prognostic factors for pancreatic cancer. The cohorts selected included >100 pancreatic cancer patients. Patient data were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GSE21501). The prognostic roles of the γ-secretase genes were analyzed by several survival analysis methods. Among the γ-secretase genes, the prognosis tended to be worse in the 2 cohorts with increasing expression of PSEN1, APH1A, and PSENEN, while the remaining genes were the opposite in the 2 cohorts. Notably, although the patient characteristics were quite different, APH1A was statistically significantly associated with prognosis in the 2 cohorts. The hazard ratio of APH1A for overall survival was 1.598 (TCGA) and 2.724 (GSE21501). These results contribute to the study of γ-secretase in pancreatic cancer. We believe that γ-secretase, particularly APH1A, will be a new prognostic biomarker for pancreatic cancer.
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To identify the discriminatory power of γ-secretase genes as a categorical variable, we analyzed Kaplan-Meier curves with log-rank test for gene expression and survival.
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To identify the discriminatory power of γ-secretase genes as a categorical variable, we analyzed Kaplan-Meier curves with log-rank test for gene expression and survival.
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Confined to the pancreas, ≤2 cm in diameter
[2]
−
[3]
2
[8] array · 4 items
[0]
T2
[1]
Confined to the pancreas, 2 cm < diameter ≤4 cm
[2]
−
[3]
16
[9] array · 4 items
[0]
T3
[1]
Confined to the pancreas, >4 cm in diameter
[2]
−
[3]
79
[10] array · 4 items
[0]
T4
[1]
Extends outside the pancreas and into nearby major blood vessels
[2]
−
[3]
1
[11] array · 4 items
[0]
N0
[1]
No spread to nearby lymph nodes
[2]
−
[3]
28
[12] array · 4 items
[0]
N1
[1]
Spreads to no more than 3 nearby lymph nodes
[2]
−
[3]
73
locator
section[8]/table-wrap[1]#tI-ol-0-0-10113
[6] object · 16 fields
id
asset:table:pmid:30944650:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:acd87bf48caa67265b4a7e8acdab070f4f7e41c0766b13d81ca85d2af7162722
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948
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verified
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read_table
reader_status
available
identifier
section[9]/table-wrap[1]#tII-ol-0-0-10113
version
null
note
Number of patients (event) divided by each gene cutoff value.
structure object · 5 fields
pmcid
PMC6444455
section_index
9
section_title
Survival curve of γ-secretases
row_count
14
column_count
4
table object · 8 fields
label
Table II.
caption
Number of patients (event) divided by each gene cutoff value.
rows array · 14 items
[0] array · 4 items
[0]
Gene
[1]
Group
[2]
TCGA
[3]
GSE21501
[1] array · 4 items
[0]
Total values (n)
[1]
All patients
[2]
172
[3]
102
[2] array · 4 items
[0]
PSEN1
[1]
High expression (event)
[2]
107 (68)
[3]
61 (42)
[3] array · 4 items
[0]
[1]
Low expression (event)
[2]
65 (24)
[3]
41 (24)
[4] array · 4 items
[0]
APH1A
[1]
High expression (event)
[2]
75 (49)
[3]
68 (49)
[5] array · 4 items
[0]
[1]
Low expression (event)
[2]
97 (43)
[3]
34 (17)
[6] array · 4 items
[0]
PSENEN
[1]
High expression (event)
[2]
101 (57)
[3]
56 (40)
[7] array · 4 items
[0]
[1]
Low expression (event)
[2]
71 (35)
[3]
46 (26)
[8] array · 4 items
[0]
NCSTN
[1]
High expression (event)
[2]
127 (74)
[3]
57 (38)
[9] array · 4 items
[0]
[1]
Low expression (event)
[2]
45 (18)
[3]
45 (28)
[10] array · 4 items
[0]
PSEN2
[1]
High expression (event)
[2]
79 (39)
[3]
86 (59)
[11] array · 4 items
[0]
[1]
Low expression (event)
[2]
93 (53)
[3]
16 (7)
[12] array · 4 items
[0]
APH1B
[1]
High expression (event)
[2]
37 (10)
[3]
69 (47)
[13] array · 4 items
[0]
[1]
Low expression (event)
[2]
135 (82)
[3]
33 (19)
locator
section[9]/table-wrap[1]#tII-ol-0-0-10113
[7] object · 16 fields
id
asset:table:pmid:30944650:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:88e60317191a249ecd6045177ce5039fc0a6db77a25490339823d026ca8f7742
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943
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open
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verified
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read_table
reader_status
available
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section[9]/table-wrap[2]#tIII-ol-0-0-10113
version
null
note
Univariate cox regression results of each gene in TCGA and GSE21501 cohorts.
structure object · 5 fields
pmcid
PMC6444455
section_index
9
section_title
Survival curve of γ-secretases
row_count
20
column_count
5
table object · 8 fields
label
Table III.
caption
Univariate cox regression results of each gene in TCGA and GSE21501 cohorts.
rows array · 20 items
[0] array · 1 item
[0]
A, TCGA
[1] array · 1 item
[0]
[2] array · 4 items
[0]
Genes
[1]
P-value
[2]
Hazard ratio
[3]
95% confidence interval
[3] array · 5 items
[0]
PSEN1
[1]
0.00291b
[2]
2.0355
[3]
1.275
[4]
3.25
[4] array · 5 items
[0]
APH1A
[1]
0.025a
[2]
1.598
[3]
1.061
[4]
2.408
[5] array · 5 items
[0]
PSENEN
[1]
0.26
[2]
1.275
[3]
0.8353
[4]
1.946
[6] array · 5 items
[0]
NCSTN
[1]
0.0469a
[2]
1.7011
[3]
1.007
[4]
2.873
[7] array · 5 items
[0]
PSEN2
[1]
0.0782
[2]
1.4574
[3]
0.9583
[4]
2.216
[8] array · 5 items
[0]
APH1B
[1]
<0.0001c
[2]
3.2734
[3]
1.691
[4]
6.335
[9] array · 1 item
[0]
[10] array · 1 item
[0]
B, GSE21501
[11] array · 1 item
[0]
[12] array · 4 items
[0]
Genes
[1]
P-value
[2]
Hazard ratio
[3]
95% confidence interval
[13] array · 1 item
[0]
[14] array · 5 items
[0]
PSEN1
[1]
0.0835
[2]
1.5772
[3]
0.9414
[4]
2.642
[15] array · 5 items
[0]
APH1A
[1]
<0.0001c
[2]
2.724
[3]
1.517
[4]
4.892
[16] array · 5 items
[0]
PSENEN
[1]
0.0248a
[2]
1.7894
[3]
1.076
[4]
2.975
[17] array · 5 items
[0]
NCSTN
[1]
0.371
[2]
1.257
[3]
0.7623
[4]
2.071
[18] array · 5 items
[0]
PSEN2
[1]
0.195
[2]
1.747
[3]
0.7517
[4]
4.06
[19] array · 5 items
[0]
APH1B
[1]
0.153
[2]
1.4939
[3]
0.861
[4]
2.592
locator
section[9]/table-wrap[2]#tIII-ol-0-0-10113
[8] object · 16 fields
id
asset:table:pmid:30944650:4
role
table
format
jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:8465cd199084898042b4414b6689292dd0248919f0c170aa0113087a7cf3157c
bytes
942
access
open
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verified
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read_table
reader_status
available
identifier
section[11]/table-wrap[1]#tIV-ol-0-0-10113
version
null
note
Differences in gene expression between cancerous and normal tissues.
structure object · 5 fields
pmcid
PMC6444455
section_index
11
section_title
The differences of expression values between normal and tumor tissues
row_count
9
column_count
10
table object · 8 fields
label
Table IV.
caption
Differences in gene expression between cancerous and normal tissues.
rows array · 9 items
[0] array · 4 items
[0]
[1]
GSE28735
[2]
GSE15471
[3]
GSE16515
[1] array · 4 items
[0]
[1]
[2]
[3]
[2] array · 10 items
[0]
Genes
[1]
P-value
[2]
Cancer (mean)
[3]
Normal (mean)
[4]
P-value
[5]
Cancer (mean)
[6]
Normal (mean)
[7]
P-value
[8]
Cancer (mean)
[9]
Normal (mean)
[3] array · 10 items
[0]
PSEN1
[1]
<0.001
[2]
6.462
[3]
5.932
[4]
<0.001
[5]
5.677
[6]
5.503
[7]
<0.001
[8]
85.603
[9]
50.961
[4] array · 10 items
[0]
APH1A
[1]
<0.001
[2]
5.799
[3]
5.476
[4]
0.002
[5]
6.416
[6]
6.282
[7]
<0.001
[8]
211.812
[9]
144.006
[5] array · 10 items
[0]
PSENEN
[1]
<0.001
[2]
6.347
[3]
6.038
[4]
0.006
[5]
7.726
[6]
7.456
[7]
<0.001
[8]
168.60
[9]
107.950
[6] array · 10 items
[0]
NCSTN
[1]
0.016
[2]
6.162
[3]
6.024
[4]
<0.001
[5]
6.635
[6]
6.732
[7]
0.0501
[8]
154.240
[9]
134.207
[7] array · 10 items
[0]
PSEN2
[1]
<0.001
[2]
5.251
[3]
5.689
[4]
<0.001
[5]
6.045
[6]
6.625
[7]
0.032
[8]
38.227
[9]
58.335
[8] array · 10 items
[0]
APH1B
[1]
0.41
[2]
5.123
[3]
5.035
[4]
<0.001
[5]
6.952
[6]
6.688
[7]
0.504
[8]
57.535
[9]
60.265
locator
section[11]/table-wrap[1]#tIV-ol-0-0-10113
gaps array · 8 items
[0]
asset:data:geo:GSE15471 not downloaded
[1]
asset:data:geo:GSE15471 licence not read
[2]
asset:data:geo:GSE16515 not downloaded
[3]
asset:data:geo:GSE16515 licence not read
[4]
asset:data:geo:GSE21501 not downloaded
[5]
asset:data:geo:GSE21501 licence not read
[6]
asset:data:geo:GSE28735 not downloaded
[7]
asset:data:geo:GSE28735 licence not read
analysis object · 4 fields
state
partial
methods array · 4 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
log_rank_test
label
Survival analysis
dsl_operations array · 1 item
[0]
logrank_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
verbatim
quote
To identify the discriminatory power of γ-secretase genes as a categorical variable, we analyzed Kaplan-Meier curves with log-rank test for gene expression and survival.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
wilcoxon
label
Group comparison
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missing_operations array · 1 item
[0]
group_comparison_wilcoxon
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
Wilcoxon
[2] object · 10 fields
id
method-3
family
survival_analysis
specific
kaplan_meier
label
Survival analysis
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[0]
survival_km
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
Kaplan-Meier
[3] object · 10 fields
id
method-4
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
Cox regression
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gaps array · 1 item
[0]
method.reader_differs_from_extractor
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
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Computational analysis platform
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[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
logrank_test
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: log_rank_test.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 4 items
[0]
GSE21501
[1]
GSE28735
[2]
GSE15471
[3]
GSE16515
resolved_accessions array · 4 items
[0]
GSE21501
[1]
GSE28735
[2]
GSE15471
[3]
GSE16515
statements array · 1 item
[0]
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
basis
The paper names GSE21501, GSE28735, GSE15471, GSE16515 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
logrank_test
assets array · 6 items
[0]
source:pmid:30944650
[1]
data:geo:GSE15471
[2]
asset:table:pmid:30944650:1
[3]
asset:table:pmid:30944650:2
[4]
asset:table:pmid:30944650:3
[5]
asset:table:pmid:30944650:4
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
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readers array · 0 items
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[0]
data:geo:GSE15471
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review object · 5 fields
state
partial
machine_critique object · 5 fields
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extraction_review
reader object · 5 fields
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MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-10-31T18:14:27Z
independence
single_reader
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method
verbatim
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verbatim
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3
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21856
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id
extraction
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complete
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MiniMax-M3.1-Flash
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minimax
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review.independent_reader
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review.machine_critique
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review.human_critique
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absent
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not_run
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execution.not_run
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pmid:30944650
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paper
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pmid:30944650
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source:pmid:30944650
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manuscript
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PMID 30944650 full text
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data:geo:GSE15471
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GEO GSE15471
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activity-reading-sci-2026-11-01
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classification
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pmid:30944650
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pmid:30944650
[1] object · 3 fields
id
source:pmid:30944650
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manuscript
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PMID 30944650 full text
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data:geo:GSE15471
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dataset
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GEO GSE15471
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agent:corpus-assay-engine
[1] object · 4 fields
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activity-read-30944650
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extraction
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source:pmid:30944650
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agent:minimax-reader
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activity-resolve-GSE15471
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agent:corpus-assay-engine
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agent:corpus-assay-engine
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agent:minimax-reader
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MiniMax literature reader
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null
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asset:data:geo:GSE15471 licence not read
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asset:data:geo:GSE15471 not downloaded
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asset:data:geo:GSE16515 licence not read
[3]
asset:data:geo:GSE16515 not downloaded
[4]
asset:data:geo:GSE21501 licence not read
[5]
asset:data:geo:GSE21501 not downloaded
[6]
asset:data:geo:GSE28735 licence not read
[7]
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[8]
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analysis
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f2132e96ae6c7a4e
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logrank_test
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dsl_catalogue
f2132e96ae6c7a4e
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[0]
To identify the discriminatory power of γ-secretase genes as a categorical variable, we analyzed Kaplan-Meier curves with log-rank test for gene expression and survival.
order_basis
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:30944650", "kind": "science-record", "revision": 7, "content_hash": "sha256:269cc6cd02caf39072188851a7c7c78a70c66185c5bbe135be1d0eb0cef2e2cb", "created_at": "2026-11-01T15:40:44Z", "updated_at": "2026-11-01T22:00:28Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Evaluation of the prognostic significances of γ-secretase genes in pancreatic cancer.", "doi": "10.3892/ol.2019.10113", "pmid": "30944650", "authors": ["Yun Ho Jeon", "Mihyang Ha", "Sung Won Kim", "Mun Ju Kim", "Chi-Seung Lee", "Chang-Kyu Oh", "Myoung-Eun Han", "Sae-Ock Oh", "Yun Hak Kim"], "journal": "Oncology letters", "year": 2019, "abstract": "With the growing requirement for novel prognostic biomarkers for pancreatic cancer, many studies have focused on clinical and/or genomic variables. Although many studies have been performed, carbohydrate antigen 19-9 is the only biomarker in clinical use. Therefore, the present study examined whether γ-secretase genes, including presenilin (PSEN), nicastrin (NCSTN), presenilin enhancer protein 2 (PSENEN), and anterior pharynx-defective 1 (APH1-), could serve as prognostic factors for pancreatic cancer. The cohorts selected included >100 pancreatic cancer patients. Patient data were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GSE21501). The prognostic roles of the γ-secretase genes were analyzed by several survival analysis methods. Among the γ-secretase genes, the prognosis tended to be worse in the 2 cohorts with increasing expression of PSEN1, APH1A, and PSENEN, while the remaining genes were the opposite in the 2 cohorts. Notably, although the patient characteristics were quite different, APH1A was statistically significantly associated with prognosis in the 2 cohorts. The hazard ratio of APH1A for overall survival was 1.598 (TCGA) and 2.724 (GSE21501). These results contribute to the study of γ-secretase in pancreatic cancer. We believe that γ-secretase, particularly APH1A, will be a new prognostic biomarker for pancreatic cancer.", "claims": [{"id": "claim-method", "statement": "To identify the discriminatory power of γ-secretase genes as a categorical variable, we analyzed Kaplan-Meier curves with log-rank test for gene expression and survival.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30944650", "locator": "sections[9] \"Survival curve of γ-secretases\" paragraph 2", "quote": "To identify the discriminatory power of γ-secretase genes as a categorical variable, we analyzed Kaplan-Meier curves with log-rank test for gene expression and survival."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30944650", "locator": "sections[15] \"Availability of data and materials\" paragraph 2", "quote": "The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:30944650"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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